Australian National Outlook 2015: Living standards, resource use, environmental performance and economic activity, 1970-2050
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https://researchdata.edu.au/australian-national-outlook-1970-2050/654218
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The maps in this data base identify most profitable land use in 2050. The information plotted on the maps is classified by current and potential land use, for seven scenarios assuming new land markets and recent trend agricultural productivity. Each scenario assumes a different level of carbon payment for single-species plantings, expressed as a share of the maximum payment in the very strong abatement scenario. Differences in payment rate arise from the level of global abatement incentives, interacting with biodiversity settings. The analysis assumes that no land shifts from native vegetation (including forest, woodland, shrubland and grassland) to agricultural use. The H3 map is for balanced land market settings. The CSIRO Data Access portal provides individual PowerPoint slides for each scenario, individual .tif files for each scenario map. Access to the Australian National Outlook Report and Technical Report can be found at http://www.csiro.au/nationaloutlook/.Lineage: These maps are outputs of the Land-Use Trade-Offs (LUTO) modelling undertaken for the Australian National Outlook. For more detailed information see "Australian land-use and sustainability data: 2013-2050" at http://doi.org/10.4225/08/5604A2E8A00CC for further information on LUTO lineage.
本数据库收录的地图展示了2050年盈利性最高的土地利用方案。地图所呈现的信息依据当前与潜在土地利用类型进行分类,共涵盖7种情景,所有情景均假设存在新型土地市场,并采用近期农业生产力发展趋势。每种情景针对单物种种植设定了差异化的碳支付水平,该水平以极强减排情景下最高碳支付额的占比进行量化。支付费率的差异源于全球减排激励力度,并与生物多样性设定参数相互作用。本分析假设原生植被(包括森林、林地、灌丛与草地)不会向农业用地转化。H3地图对应均衡型土地市场设定情景。联邦科学与工业研究组织(CSIRO)数据访问门户可提供各情景的独立PowerPoint演示文稿,以及各情景地图的单独.tif格式文件。用户可通过http://www.csiro.au/nationaloutlook/ 获取《澳大利亚国家展望》报告与技术报告。
数据谱系:本系列地图为《澳大利亚国家展望》项目所开展的土地利用权衡(Land-Use Trade-Offs, LUTO)模型的输出结果。如需了解LUTO模型数据谱系的更多细节,请参阅《澳大利亚土地利用与可持续性数据:2013-2050》,相关链接为http://doi.org/10.4225/08/5604A2E8A00CC。
提供机构:
Commonwealth Scientific and Industrial Research Organisation



